LENOVO 21QESIT004
Geekbench ML Score
3304
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 13 2025 07:47 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QESIT004 |
| Motherboard | LENOVO 21QESIT004 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 3.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1625
304.2 IPS |
|
|
Image Classification (F16)
|
100% |
1648
308.4 IPS |
|
|
Image Classification (I8)
|
99% |
3056
571.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1532
25.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1530
25.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2699
45.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6182
7.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
6255
7.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
20158
24.4 IPS |
|
|
Object Detection (F32)
|
100% |
1697
126.7 IPS |
|
|
Object Detection (F16)
|
100% |
1681
125.5 IPS |
|
|
Object Detection (I8)
|
62% |
1531
114.3 IPS |
|
|
Face Detection (F32)
|
100% |
3328
39.6 IPS |
|
|
Face Detection (F16)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (I8)
|
89% |
4183
49.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6169
47.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5575
43.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
13362
103.6 IPS |
|
|
Style Transfer (F32)
|
100% |
13378
17.6 IPS |
|
|
Style Transfer (F16)
|
100% |
10133
13.3 IPS |
|
|
Style Transfer (I8)
|
98% |
20427
26.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2604
93.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2811
100.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4812
171.9 IPS |
|
|
Text Classification (F32)
|
100% |
1070
1.54 KIPS |
|
|
Text Classification (F16)
|
100% |
1058
1.52 KIPS |
|
|
Text Classification (I8)
|
98% |
997
1.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
1772
32.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1729
31.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2994
55.1 IPS |
